Practical Financial Data Analysis With Python Data Science

Obtain & Work With Real Financial Data Get Coupon Code Hot & New What you'll learn LEARN To Obtain Real World Financial Data FREE From Yahoo and Quandl BE ABLE To Read In, Pre-process & Visualize Time Series Data IMPLEMENT Common Data Processing And Visualisation Techniques For Financial Data in Python LEARN How To Use Different Python-based Packages For Financial Analysis MODEL Time Series Data To Forecast Future Values With Classical Time Series Techniques USE Machine Learning Regression For Building Predictive Models of Stock prices LEARN How to Use Facebook's Powerful Prophet Algorithm For Modelling Financial Data IMPLEMENT Deep learning methods such as LSTM For Forecasting Stock Data Requirements Prior Familiarity With The Interface Of Jupiter Notebooks and Package Installation Prior Exposure to Basic Statistical Techniques (Such As p-Values, Mean, Variance) Be Able To Carry Out Data Reading And Pre-Processing Tasks Such As Data Cleaning In Python Interest In Working With Time Series Data Or Data With A Time Component To Them Description THIS IS YOUR COMPLETE GUIDE TO FINANCIAL DATA ANALYSIS IN PYTHON! This course is your complete guide to analyzing real-world financial data using Python. All the main aspects of analyzing financial data- statistics, data visualization, time series analysis and machine learning will be covered in depth. If you take this course, you can do away with taking other courses or buying books on Python-based data analysis. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal.